github Python analyzed 86614e4

ColtM1873/LangGraph-General-Use-Multi-Agent-Framework

github

A general-purpose multi-agent framework built on LangGraph. Features KV Cache-preserving summarization, long-term memory (BGE-M3 + pgvector), and four specialized sub-agents: Map, Weather, Railway, and Web Search.

maintainer
ColtM1873
licence
GPL-3.0
first seen
2026-08-10
last seen
2026-08-11
releases · 30d
0
short id
risk 48/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 24
  • recent drift inferred + 12
  • tool safety inferred + 12

inferred

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 18h ago · see ecosystem CVEs →

risk trajectory 2 movements
  • C · 56 C · 48
  • C · 48 C · 56
capability exposure grade factor +24
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: committed .env

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit 86614e4 · analyzer v33 · 3w ago

danger signals1

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:ColtM1873/LangGraph-General-Use-Multi-Agent-Framework/badge.svg)](https://mcpobservatory.com/servers/github:ColtM1873/LangGraph-General-Use-Multi-Agent-Framework/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of ColtM1873.